Industry Solution Leader, Retail-Data

22 hours ago


Noida, Uttar Pradesh, India Polestar Analytics Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title:
Industry Solutions Leader – Retail

Location:
Noida/Kolkata /Bangalore

Employment Type:
Full-Time

Experience:
10+ Years

Industry Focus:
Retail

Position Summary

We are seeking an accomplished
Industry Solutions Leader – Retail
to drive the development and adoption of innovative
AI and Analytics solutions
.This role sits at the intersection of
industry expertise, advanced analytics, and client engagement
, helping Retail organizations unlock value from their data assets and accelerate digital transformation. The Industry Solutions Leader will be responsible for
conceptualizing, designing, and commercializing Retail-specific AI and analytics use cases
— ranging from
customer behaviour and sales performance analytics
to
merchandising optimization, pricing intelligence, inventory management, and supply chain efficiency
. A critical part of the role involves partnering with our
sales and client success teams
to support business development cycles, shape client solution roadmaps, and serve as a
trusted advisor to C-level stakeholders
across Retail, eCommerce, and Consumer Goods organizations.

Responsibilities

1. Client Engagement & Pre-Sales:

  • Participate in discovery sessions with prospective clients to understand business challenges, current operations, and data maturity.
  • Collaborate with sales and solution architects to define business use cases, target outcomes, and solution scope.
  • Conduct competitive and market research to inform solution design and positioning.
  • Support creation and delivery of client-facing presentations, demos, and proof-of-concept plans.
  • Develop pre-sales collateral including:
  • Client problem statements and tailored value propositions
  • Functional requirement outlines
  • Workflow/process maps and high-level solution blueprints
  • Contributions to RFPs/RFIs, SOWs, and proposals

2. Project Delivery & Execution:

  • Translate client business requirements into clear user stories and functional specifications for technical teams.
  • Collaborate with data engineers, data scientists, and visualization experts to design
    data pipelines, analytical models, and dashboards
    tailored to retail use cases such as customer segmentation, demand forecasting, and sales analytics.
  • Lead or support requirement workshops, stakeholder interviews, backlog grooming, and sprint reviews.
  • Validate analytical outputs against business needs through UAT and client feedback sessions.
  • Manage documentation including
    BRDs, wireframes, data dictionaries, test cases, and SOPs
    .

3. Industry & Domain Expertise:

  • Bring deep Retail domain knowledge in areas such as Customer Analytics, Merchandising, Pricing, Store Operations, Supply Chain, and Financial Planning.
  • Work with common Retail and eCommerce data assets — including POS, CRM, inventory, logistics, loyalty, and digital engagement data.
  • Stay current with emerging Retail analytics trends such as AI-driven personalization, dynamic pricing, omnichannel analytics, and demand sensing.

Required Experience

  • Bachelor's degree in
    Retail Management, Business, Computer Science, or a related field.
  • 10+ years of experience in business analysis, solutioning, or consulting roles supporting Retail clients — ideally at a consulting, analytics, or digital transformation firm.
  • Strong understanding of the
    data & analytics lifecycle
    (from ingestion to insight) and ability to bridge business needs with technical solutions.
  • Proven experience contributing to
    pre-sales deliverables, proposals, and solution design workshops.
  • Hands-on experience with tools such as
    SQL, Excel, Power BI/Tableau
    , and familiarity with modern data platforms like
    Snowflake
    and
    Databricks.
  • Exceptional written and verbal communication skills with the ability to present to
    senior client stakeholders.
  • Experience with
    Data Warehousing/Visualization tools
    such as
    Databricks, Snowflake, Qlik Sense, and Power BI.
  • Experience with
    CRM and Retail management systems
    (e.g.,
    Salesforce, SAP Retail, Oracle Retail, or Dynamics 365
    ) and data models relevant to Retail analytics.
  • Familiarity with
    cloud ecosystems (AWS, Azure, GCP)
    and
    agile delivery methodologies.
  • MBA or a relevant master's degree
    preferred.
  • Certifications such as
    CBAP, PMI-PBA, or Pre-Sales Technical Consultant
    certifications are a plus.

Core Capabilities

  • Strategic execution & operational alignment
  • High-performance delivery & quality governance
  • Talent strategy & future-skills leadership
  • Cross-functional stakeholder engagement
  • Change management & transformation enablement

About Polestar
:

As a data analytics and enterprise planning powerhouse, Polestar Analytics helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data.

We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades.

The list includes: -

  • Recognized as the Top 50 Companies for Data Scientists in 2024 by AIM.
  • Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023.
  • Featured on the Economic Times India's Growth Champions in FY2023.
  • Polestar Analytics Selected as a 2022 Red Herring Global Companies.
  • Top Data Science Providers in India 2024: Penetration and Maturity (PeMa) Quadrant.
  • India's most promising data science companies in 2022 by Analytics Insight.

We have one of the most progressive people's practices which are all aimed at enabling fast paced growth for those who deserve it.



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